Evidence map›Paper›PMID 23132786›Full record

ArticlePlant physiology2013

Characteristics and significance of intergenic polyadenylated RNA transcription in Arabidopsis.

Gaurav D Moghe, Melissa D Lehti-Shiu, Alex E Seddon, Shan Yin, Yani Chen, Piyada Juntawong, Federica Brandizzi, Julia Bailey-Serres, Shin-Han Shiu

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Plant physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Non-Coding RNAs and their Integrated Networks.Journal of integrative bioinformatics · 2019
    Review
  6. Robust predictions of specialized metabolism genes through machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Translational dynamics revealed by genome-wide profiling of ribosome footprints in Arabidopsis.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  13. Arabidopsis non-coding RNA regulation in abiotic stress responses.International journal of molecular sciences · 2013
    Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Gaurav D MogheDepartment of Plant Biology, Michigan State University, East Lansing, Michigan 48824, USA.
Melissa D Lehti-Shiu
Alex E Seddon
Shan Yin
Yani Chen
Piyada Juntawong
Federica Brandizzi
Julia Bailey-Serres
Shin-Han Shiu
University of California, Riverside · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arabidopsis (Arabidopsis thaliana) genome is the most well-annotated plant genome. However, transcriptome sequencing in Arabidopsis continues to suggest the presence of polyadenylated (polyA) transcripts originating from presumed intergenic regions. It is not clear whether these transcripts represent novel noncoding or protein-coding genes. To understand the nature of intergenic polyA transcription, we first assessed its abundance using multiple messenger RNA sequencing data sets. We found 6,545 intergenic transcribed fragments (ITFs) occupying 3.6% of Arabidopsis intergenic space. In contrast to transcribed fragments that map to protein-coding and RNA genes, most ITFs are significantly shorter, are expressed at significantly lower levels, and tend to be more data set specific. A surprisingly large number of ITFs (32.1%) may be protein coding based on evidence of translation. However, our results indicate that these "translated" ITFs tend to be close to and are likely associated with known genes. To investigate if ITFs are under selection and are functional, we assessed ITF conservation through cross-species as well as within-species comparisons. Our analysis reveals that 237 ITFs, including 49 with translation evidence, are under strong selective constraint and relatively distant from annotated features. These ITFs are likely parts of novel genes. However, the selective pressure imposed on most ITFs is similar to that of randomly selected, untranscribed intergenic sequences. Our findings indicate that despite the prevalence of ITFs, apart from the possibility of genomic contamination, many may be background or noisy transcripts derived from "junk" DNA, whose production may be inherent to the process of transcription and which, on rare occasions, may act as catalysts for the creation of novel genes.

Indexed as

Gene Expression Regulation, PlantTranscription, GeneticArabidopsisBase SequenceConserved SequenceDNA, IntergenicDNA, PlantEvolution, MolecularGenes, PlantMolecular Sequence AnnotationPlants, Genetically ModifiedProtein BiosynthesisPseudogenesRibosomesRNA, MessengerRNA, PlantDNA, IntergenicDNA, PlantRNA, MessengerRNA, Plant

Identifiers

PMID23132786
PMCPMC3532253
OpenAlexW2108431563

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.